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QUEST 알고리즘을 이용한 제조업에서의 산업재해 특성 분석 KCI 등재

Feature Analysis of Industrial Accidents in Manufacturing Business Using QUEST Algorithm

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  • URLhttps://db.koreascholar.com/Article/Detail/245325
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대한안전경영과학회지 (Journal of Korea Safety Management & Science)
대한안전경영과학회 (Korea Safety Management & Science)
초록

So far, there is no technique of quantitative evaluation on danger related to industrial accidents. Therefore, as an endeavor for obtaining technique of quantitative evaluation, this study presents feature analysis of industrial accidents in manufacturing field using QUEST algorithm. In order to analyze feature of industrial accidents, a retrospective analysis was performed in 10,536 subjects (10,313 injured people, 223 deaths). The sample for this work chosen from data related to manufacturing businesses during three years (2002~2004) in Korea. The analysis results were very informative since those enable us to know the most important variables such as occurrence type, company size, and occurrence time which can affect injured people. Also, it is found that classification using QUEST algorithm which was performed in this study is very reliable.

저자
  • 임영문 | Leem, Young-Moon
  • 황영섭 | Hwang, Young-Seob